Oscar Koller

4.4k total citations · 3 hit papers
24 papers, 2.3k citations indexed

About

Oscar Koller is a scholar working on Human-Computer Interaction, Developmental and Educational Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Oscar Koller has authored 24 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Human-Computer Interaction, 15 papers in Developmental and Educational Psychology and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Oscar Koller's work include Hand Gesture Recognition Systems (21 papers), Hearing Impairment and Communication (15 papers) and Human Pose and Action Recognition (11 papers). Oscar Koller is often cited by papers focused on Hand Gesture Recognition Systems (21 papers), Hearing Impairment and Communication (15 papers) and Human Pose and Action Recognition (11 papers). Oscar Koller collaborates with scholars based in Germany, United Kingdom and United States. Oscar Koller's co-authors include Hermann Ney, Richard Bowden, Necati Cihan Camgöz, Simon Hadfield, Jens Förster, Christoph Schmidt, Justus Piater, Danielle Bragg, Naomi Caselli and William Thies and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and Computer Vision and Image Understanding.

In The Last Decade

Oscar Koller

24 papers receiving 2.2k citations

Hit Papers

Neural Sign Language Translation 2015 2026 2018 2022 2018 2015 2019 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Neural Sign Language Translation
    2018 402 citations Necati Cihan Camgöz, Simon Hadfield et al. View profile →
  2. Continuous sign language recognition: Towards large vocabulary statistical recognition systems handling multiple signers
    2015 314 citations Oscar Koller, Jens Förster et al. profile →
  3. Weakly Supervised Learning with Multi-Stream CNN-LSTM-HMMs to Discover Sequential Parallelism in Sign Language Videos
    2019 225 citations Oscar Koller, Necati Cihan Camgöz et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers

Oscar Koller
Necati Cihan Camgöz United Kingdom
Razieh Rastgoo Iran
Helene Brashear United States
Philippe Dreuw Germany
Sylvie C. W. Ong Singapore
E. Kiran Kumar India
Hamzah Luqman Saudi Arabia
Stephen Cox United Kingdom
Javier Ferreiros Spain
Necati Cihan Camgöz United Kingdom
Oscar Koller
Citations per year, relative to Oscar Koller Oscar Koller (= 1×) peers Necati Cihan Camgöz

Countries citing papers authored by Oscar Koller

Since Specialization
Citations

This map shows the geographic impact of Oscar Koller's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Oscar Koller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oscar Koller more than expected).

Fields of papers citing papers by Oscar Koller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Oscar Koller. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Oscar Koller. The network helps show where Oscar Koller may publish in the future.

Co-authorship network of co-authors of Oscar Koller

This figure shows the co-authorship network connecting the top 25 collaborators of Oscar Koller. A scholar is included among the top collaborators of Oscar Koller based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Oscar Koller. Oscar Koller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Müller, Mathias, Malihe Alikhani, Eleftherios Avramidis, et al.. (2023). Findings of the Second WMT Shared Task on Sign Language Translation (WMT-SLT23). Zurich Open Repository and Archive (University of Zurich). 68–94. 7 indexed citations
2.
Müller, Mathias, Sarah Ebling, Eleftherios Avramidis, et al.. (2022). Findings of the First WMT Shared Task on Sign Language Translation (WMT-SLT22). Zurich Open Repository and Archive (University of Zurich). 744–772. 8 indexed citations
3.
Bragg, Danielle, Naomi Caselli, Julie Hochgesang, et al.. (2021). The FATE Landscape of Sign Language AI Datasets. ACM Transactions on Accessible Computing. 14(2). 1–45. 25 indexed citations
4.
Koller, Oscar, Necati Cihan Camgöz, Hermann Ney, & Richard Bowden. (2019). Weakly Supervised Learning with Multi-Stream CNN-LSTM-HMMs to Discover Sequential Parallelism in Sign Language Videos. IEEE Transactions on Pattern Analysis and Machine Intelligence. 42(9). 2306–2320. 225 indexed citations breakdown →
5.
Koller, Oscar, et al.. (2018). Deep Sign: Enabling Robust Statistical Continuous Sign Language Recognition via Hybrid CNN-HMMs. International Journal of Computer Vision. 126(12). 1311–1325. 143 indexed citations
6.
Camgöz, Necati Cihan, Simon Hadfield, Oscar Koller, Hermann Ney, & Richard Bowden. (2018). Neural Sign Language Translation. View. 7784–7793. 402 indexed citations breakdown →
7.
Koller, Oscar, et al.. (2017). Re-Sign: Re-Aligned End-to-End Sequence Modelling with Deep Recurrent CNN-HMMs. 3416–3424. 181 indexed citations
8.
Camgöz, Necati Cihan, Simon Hadfield, Oscar Koller, & Richard Bowden. (2017). SubUNets: End-to-End Hand Shape and Continuous Sign Language Recognition. View. 3075–3084. 223 indexed citations
9.
Koller, Oscar, Richard Bowden, & Hermann Ney. (2016). Automatic Alignment of HamNoSys Subunits for Continuous Sign Language Recognition. RWTH Publications (RWTH Aachen). 12 indexed citations
10.
Koller, Oscar, Hermann Ney, & Richard Bowden. (2016). Deep Hand: How to Train a CNN on 1 Million Hand Images When Your Data is Continuous and Weakly Labelled. View. 3793–3802. 181 indexed citations
11.
Camgöz, Necati Cihan, Simon Hadfield, Oscar Koller, & Richard Bowden. (2016). Using Convolutional 3D Neural Networks for User-independent continuous gesture recognition. View. 49–54. 68 indexed citations
12.
Koller, Oscar, Hermann Ney, & Richard Bowden. (2015). Deep Learning of Mouth Shapes for Sign Language. 477–483. 80 indexed citations
13.
Förster, Jens, et al.. (2014). Extensions of the Sign Language Recognition and Translation Corpus RWTH-PHOENIX-Weather. Language Resources and Evaluation. 1911–1916. 86 indexed citations
14.
Koller, Oscar, Hermann Ney, & Richard Bowden. (2014). Weakly Supervised Automatic Transcription of Mouthings for Gloss-Based Sign Language Corpora. Surrey Research Insight Open Access (The University of Surrey). 3 indexed citations
15.
Schmidt, Christoph, et al.. (2013). Using viseme recognition to improve a sign language translation system.. Open Repository and Bibliography (University of Liège). 9 indexed citations
16.
Schmidt, Christoph, et al.. (2013). Enhancing gloss-based corpora with facial features using active appearance models. Open Repository and Bibliography (University of Liège). 12 indexed citations
17.
Koller, Oscar, Hermann Ney, & Richard Bowden. (2013). May the force be with you: Force-aligned signwriting for automatic subunit annotation of corpora. View. 1–6. 15 indexed citations
18.
Förster, Jens, et al.. (2012). RWTH-PHOENIX-Weather: A Large Vocabulary Sign Language Recognition and Translation Corpus. Language Resources and Evaluation. 3785–3789. 74 indexed citations
19.
Koller, Oscar, Alberto Abad, & Isabel Trancoso. (2010). Exploiting variety-dependent Phones in Portuguese Variety Identification.. 46. 4 indexed citations
20.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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